Introducing the BaSalam (comments & products) dataset: a treasure trove of insights into the vibrant online marketplace of BaSalam! 🌐🛍️

Dive into two feature-packed files: BaSalam.products.csv and BaSalam.reviews.csv, showcasing a detailed inventory of products and a rich tapestry of customer interactions. 📊📝

BaSalam.products.csv Highlights 🌟
Get a complete look at each product with information on:

Basic identifiers and metrics: _id, _score 🆔

Sales performance: sales_count_week 📈

Detailed product descriptions: name, price, status_title 🏷️

Stock and shipping nuances: stock, has_delivery, isFreeShipping, IsAvailable, IsSaleable 📦🚚

Visuals and media: photo_MEDIUM, photo_SMALL, video_ORIGINAL 🖼️🎥

Customer ratings and reviews: rating_average, rating_count, rating_signals ⭐

Pricing and promotional details: primaryPrice, promotions 💸

Extensive vendor profiles: vendor_name, vendor_score, vendor_status_title, and more 🔍

Categorization and navigation: categoryId, new_categoryId, navigation_id, categoryTitle 🗂️

Additional attributes and miscellaneous details: mainAttribute, preparationDays, weight 📏🛠️

BaSalam.reviews.csv Highlights 📘

Explore comprehensive feedback with:

Review identifiers and timelines: _id, productId, createdAt, updatedAt 📅

User engagement metrics: user_id, name_of_user, photo_of_user 👤

Interactive features: likeCount, dislikeCount, isLikedByCurrentUser, isDislikedByCurrentUser 👍👎

Rich review content: description, attachments, history_count ✍️📄

Detailed reasons for reviews through reason_ids array and variation_metadata 🧐

This dataset is not just data—it’s a gateway to understanding the pulse of the BaSalam marketplace, providing a foundation for nuanced market analysis, sentiment exploration, and machine learning applications in e-commerce. 🎯🔍

Ready to analyze trends, gauge consumer sentiment, or examine product performance? The BaSalam dataset offers all the necessary tools and data for a thorough dive into e-commerce dynamics! 🚀💡